01 Zakres zadań

designing, building, and maintaining scalable data pipelines on GCP,
developing and optimizing data models using BigQuery and dbt,
building and managing real-time and batch data processing using Kafka,
ensuring data quality, consistency, and reliability across pipelines,
supporting migration of legacy data systems into modern cloud-based architecture,
collaborating with Data Architects, Platform Engineers, and Analytics teams,
enabling self-service data capabilities for internal consumers (data products mindset),
implementing monitoring, logging, and observability for data pipelines,
optimizing performance and cost of data workloads in GCP,
contributing to best practices in data governance and data engineering standards.

02 Wymagania

12 must-have · 1 język

Must-have

BigQuery

Zaawansowany

Kafka

Zaawansowany

SQL

Zaawansowany

GCP

Zaawansowany

CI/CD

Zaawansowany

Python or Scala

Zaawansowany

DBT

Zaawansowany

Data pipelines

Zaawansowany

Problem-solving

Zaawansowany

Cloud data platforms

Podstawowy

Data modeling

Podstawowy

Multi-team environments

Podstawowy

Wymagane języki

Angielski

Zaawansowany

03 Profil kandydata

Key requirements:

strong hands-on experience with BigQuery
solid experience with dbt (data transformations, modeling)
experience working with Kafka (streaming data pipelines)
strong skills in building data pipelines (batch and/or streaming)
very good knowledge of SQL
experience with cloud data platforms (preferably GCP)
understanding of data modeling concepts (DWH, ELT/ETL)
experience working in complex, multi-team environments
strong problem-solving skills and ownership mindset
good communication and collaboration skills
experience with data platform or data mesh concepts
familiarity with CI/CD for data workflows
knowledge of Python or Scala for data processing
experience with data quality / validation frameworks
understanding of data governance and security best practices
experience in cloud migration projects
familiarity with orchestration tools (e.g. Airflow, Cloud Composer)
practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery
Work from the European Union region and a work permit are required

Nice to have:

experience with real-time analytics use cases
exposure to self-service data platforms / data products
knowledge of cost optimization in BigQuery

04 O firmie

Xebia

1-5k · Wrocław

Xebia is a global, award-winning, AI-first consulting, software engineering, and training company. We shape tomorrow with AI today—helping organizations turn AI strategy into production-ready solutions that drive real transformation, faster.

Xebia operates as a single global team, designed for speed, scale, and impact, bringing together deep human expertise and the power of AI in everything we deliver.

Our flexible delivery model combines client-facing teams in the US and Europe with nearshore capacity across Poland and Latin America, as well as a large-scale offshore hub in India working as a single, integrated network.

The result is a sophisticated hybrid model that combines local expertise with global reach. For our clients, this means faster time-to-value, easier access to highly specialized digital and AI talent, and the flexibility to scale solutions at the speed of business.

With round-the-clock delivery, built-in scalability, cultural alignment, and a strong focus on attracting and retaining the best global talent, we help global organizations build, scale, and innovate with confidence.

Zobacz ogłoszenia